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Searched refs:filter_data (Results 1 – 25 of 106) sorted by relevance

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/external/tensorflow/tensorflow/compiler/xla/tests/
Dconvolution_variants_test.cc387 std::vector<float> filter_data(128); in XLA_TEST_F() local
388 std::fill(filter_data.begin(), filter_data.begin() + 64, 1.0); in XLA_TEST_F()
389 std::fill(filter_data.begin() + 64, filter_data.begin() + 128, 2.0); in XLA_TEST_F()
390 const Array4D<float> filter_array(2, 1, 8, 8, filter_data); in XLA_TEST_F()
407 std::vector<float> filter_data(1 * 1 * 1 * 1); in XLA_TEST_F() local
408 std::iota(filter_data.begin(), filter_data.end(), 1.0); in XLA_TEST_F()
409 const Array4D<float> filter_array(1, 1, 1, 1, filter_data); in XLA_TEST_F()
436 std::vector<float> filter_data(1 * 1 * ky * kx); in XLA_TEST_F() local
437 std::iota(filter_data.begin(), filter_data.end(), 1.0); in XLA_TEST_F()
438 const Array4D<float> filter_array(1, 1, ky, kx, filter_data); in XLA_TEST_F()
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/external/tensorflow/tensorflow/lite/delegates/hexagon/builders/tests/
Dtranspose_conv_test.cc29 std::initializer_list<InputType> filter_data, in QuantizedTransposeConvOpModel() argument
38 filter_ = AddConstInput(filter, filter_data); in QuantizedTransposeConvOpModel()
116 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, in TEST() local
119 {1, 4, 4, 1}, {TensorType_UINT8, {1, 3, 3, 1}, -63.5, 64}, filter_data, in TEST()
138 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, 139, in TEST() local
142 {1, 6, 6, 1}, {TensorType_UINT8, {1, 3, 3, 2}, -63.5, 64}, filter_data, in TEST()
163 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, 139, in TEST() local
167 {1, 4, 4, 1}, {TensorType_UINT8, {1, 3, 3, 2}, -63.5, 64}, filter_data, in TEST()
185 const std::initializer_list<int8_t> filter_data = {14, 28, 42, 56, 71, in TEST() local
190 filter_data, {TensorType_INT8, {1, 4, 4, 1}, 0, 0, 16.0 / 255, -128}, in TEST()
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/external/autotest/frontend/tko/
Drpc_interface.py13 def get_test_views(**filter_data): argument
15 models.TestView.list_objects(filter_data))
18 def get_num_test_views(**filter_data): argument
19 return models.TestView.query_count(filter_data)
23 extra_select_fields=None, **filter_data): argument
47 query = models.TestView.objects.get_query_set_with_joins(filter_data)
49 query = models.TestView.query_objects(filter_data, initial_query=query,
55 query = models.TestView.apply_presentation(query, filter_data)
64 def get_num_groups(group_by, **filter_data): argument
68 query = models.TestView.objects.get_query_set_with_joins(filter_data)
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Dmodels.py528 def get_query_set_with_joins(self, filter_data): argument
571 test_attributes = filter_data.pop('test_attribute_fields', [])
575 test_labels = filter_data.pop('test_label_fields', [])
578 machine_labels = filter_data.pop('machine_label_fields', [])
581 iteration_keys = filter_data.pop('iteration_result_fields', [])
584 job_keyvals = filter_data.pop('job_keyval_fields', [])
587 iteration_attributes = filter_data.pop('iteration_attribute_fields', [])
595 extra_where = filter_data.get('extra_where', '')
600 include_labels = filter_data.pop('include_labels', [])
601 exclude_labels = filter_data.pop('exclude_labels', [])
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/external/perfetto/src/tools/proto_filter/
Dproto_filter.cc195 std::string filter_data; in Main() local
199 if (!base::ReadFile(filter_in, &filter_data)) { in Main()
206 filter_data = filter.GenerateFilterBytecode(); in Main()
210 if (!filter_data.empty()) { in Main()
211 const uint8_t* data = reinterpret_cast<const uint8_t*>(filter_data.data()); in Main()
212 if (!msg_filter.LoadFilterBytecode(data, filter_data.size())) { in Main()
227 filter_data.size(), filter_out.c_str()); in Main()
228 base::WriteAll(*fd, filter_data.data(), filter_data.size()); in Main()
240 oct_str.reserve(filter_data.size() * 4 + 64); in Main()
242 for (char c : filter_data) { in Main()
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/external/autotest/frontend/afe/
Drpc_interface.py290 def get_labels(exclude_filters=(), **filter_data): argument
296 labels = models.Label.query_objects(filter_data)
303 static_labels = models.StaticLabel.query_objects(filter_data)
619 valid_only=True, include_current_job=False, **filter_data): argument
633 valid_only, filter_data)
695 valid_only=True, **filter_data): argument
706 valid_only, filter_data)
712 def get_tests(**filter_data): argument
714 models.Test.list_objects(filter_data))
764 def get_profilers(**filter_data): argument
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/external/tensorflow/tensorflow/lite/kernels/
Dtranspose_conv_test.cc60 std::initializer_list<InputType> filter_data, in BaseTransposeConvOpModel() argument
72 filter_ = AddConstInput(filter, filter_data); in BaseTransposeConvOpModel()
91 PopulateTensor<InputType>(filter_, filter_data); in BaseTransposeConvOpModel()
313 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, in TEST_P() local
317 {TensorType_UINT8, {1, 3, 3, 1}, -63.5, 64}, filter_data, in TEST_P()
336 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, 139, in TEST_P() local
341 {TensorType_UINT8, {1, 3, 3, 2}, -63.5, 64}, filter_data, in TEST_P()
360 std::initializer_list<uint8_t> filter_data = {129, 131, 133, 135, 137, 139, in TEST_P() local
365 {TensorType_UINT8, {1, 3, 3, 2}, -63.5, 64}, filter_data, in TEST_P()
399 const std::initializer_list<float> filter_data = {1, 2, 3, 4, 5, 6, 7, 8, 9}; in TEST_P() local
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/external/tensorflow/tensorflow/core/kernels/
Deigen_benchmark.h54 Scalar* filter_data = in SpatialConvolution() local
60 device_.memset(filter_data, 123, BufferSize(filter_dims)); in SpatialConvolution()
63 Filter filter(filter_data, filter_dims); in SpatialConvolution()
72 device_.deallocate(filter_data); in SpatialConvolution()
90 Scalar* filter_data = in SpatialConvolutionBackwardInput() local
97 device_.memset(filter_data, 123, BufferSize(filter_dims)); in SpatialConvolutionBackwardInput()
100 Filter filter(filter_data, filter_dims); in SpatialConvolutionBackwardInput()
110 device_.deallocate(filter_data); in SpatialConvolutionBackwardInput()
186 Scalar* filter_data = in CuboidConvolution() local
192 device_.memset(filter_data, 123, BufferSize(filter_dims)); in CuboidConvolution()
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Dconv_ops_test.cc142 Tensor filter_data(DT_FLOAT, TensorShape({filter_size, filter_size, in CompareFusedAndSeparate() local
144 test::FillIota<float>(&filter_data, 1.0f); in CompareFusedAndSeparate()
146 Const(root.WithOpName("filter"), Input::Initializer(filter_data)); in CompareFusedAndSeparate()
203 Tensor filter_data(DT_FLOAT, TensorShape({filter_size, filter_size, in CompareFusedPadOnlyAndSeparate() local
205 test::FillIota<float>(&filter_data, 1.0f); in CompareFusedPadOnlyAndSeparate()
207 Const(root.WithOpName("filter"), Input::Initializer(filter_data)); in CompareFusedPadOnlyAndSeparate()
485 std::function<void(const Tensor& input_data, const Tensor& filter_data,
489 const Tensor& input_data, const Tensor& filter_data,
555 void RunConv2DWithBias(const Tensor& input_data, const Tensor& filter_data, in RunConv2DWithBias() argument
565 ops::Const(root.WithOpName("filter"), Input::Initializer(filter_data)), in RunConv2DWithBias()
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/external/tensorflow/tensorflow/lite/delegates/xnnpack/
Dtranspose_conv_tester.cc156 std::vector<uint16_t> filter_data(OutputChannels() * KernelHeight() * in CreateTfLiteModel() local
159 std::generate(filter_data.begin(), filter_data.end(), f16rng); in CreateTfLiteModel()
164 reinterpret_cast<const uint8_t*>(filter_data.data()), in CreateTfLiteModel()
165 sizeof(uint16_t) * filter_data.size()))); in CreateTfLiteModel()
222 std::vector<float> filter_data(OutputChannels() * KernelHeight() * in CreateTfLiteModel() local
224 std::generate(filter_data.begin(), filter_data.end(), f32rng); in CreateTfLiteModel()
229 std::vector<int8_t> quantized_filter_data(filter_data.size()); in CreateTfLiteModel()
231 filter_scales.resize(1, GetInt8QuantizationScale(filter_data)); in CreateTfLiteModel()
234 filter_data.begin(), filter_data.end(), quantized_filter_data.begin(), in CreateTfLiteModel()
241 filter_data.data(), filter_quantized_dimension, filter_shape); in CreateTfLiteModel()
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Dfully_connected_tester.cc142 std::vector<uint16_t> filter_data(InputChannels() * OutputChannels()); in CreateTfLiteModel() local
159 filter_data[oc * InputChannels() + ic] = value_rng(); in CreateTfLiteModel()
165 reinterpret_cast<const uint8_t*>(filter_data.data()), in CreateTfLiteModel()
166 sizeof(uint16_t) * filter_data.size()))); in CreateTfLiteModel()
194 std::vector<float> filter_data(InputChannels() * OutputChannels()); in CreateTfLiteModel() local
210 filter_data[oc * InputChannels() + ic] = value_rng(); in CreateTfLiteModel()
215 std::vector<int8_t> quantized_filter_data(filter_data.size()); in CreateTfLiteModel()
217 filter_scales.resize(1, GetInt8QuantizationScale(filter_data)); in CreateTfLiteModel()
219 std::transform(filter_data.begin(), filter_data.end(), in CreateTfLiteModel()
228 filter_data.data(), filter_quantized_dimension, filter_shape); in CreateTfLiteModel()
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Dconv_2d_tester.cc158 std::vector<uint16_t> filter_data(OutputChannels() * KernelHeight() * in CreateTfLiteModel() local
180 filter_data[index] = value_rng(); in CreateTfLiteModel()
188 reinterpret_cast<const uint8_t*>(filter_data.data()), in CreateTfLiteModel()
189 sizeof(uint16_t) * filter_data.size()))); in CreateTfLiteModel()
216 std::vector<float> filter_data(OutputChannels() * KernelHeight() * in CreateTfLiteModel() local
237 filter_data[index] = value_rng(); in CreateTfLiteModel()
247 std::vector<int8_t> quantized_filter_data(filter_data.size()); in CreateTfLiteModel()
249 filter_scales.resize(1, GetInt8QuantizationScale(filter_data)); in CreateTfLiteModel()
251 std::transform(filter_data.begin(), filter_data.end(), in CreateTfLiteModel()
260 filter_data.data(), filter_quantized_dimension, filter_shape); in CreateTfLiteModel()
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Ddepthwise_conv_2d_tester.cc144 std::vector<uint16_t> filter_data(KernelHeight() * KernelWidth() * in CreateTfLiteModel() local
165 filter_data[index] = value_rng(); in CreateTfLiteModel()
173 reinterpret_cast<const uint8_t*>(filter_data.data()), in CreateTfLiteModel()
174 sizeof(uint16_t) * filter_data.size()))); in CreateTfLiteModel()
197 std::vector<float> filter_data(KernelHeight() * KernelWidth() * in CreateTfLiteModel() local
217 filter_data[index] = value_rng(); in CreateTfLiteModel()
224 std::vector<int8_t> quantized_filter_data(filter_data.size()); in CreateTfLiteModel()
226 filter_scales.resize(1, GetInt8QuantizationScale(filter_data)); in CreateTfLiteModel()
228 std::transform(filter_data.begin(), filter_data.end(), in CreateTfLiteModel()
237 filter_data.data(), filter_quantized_dimension, filter_shape); in CreateTfLiteModel()
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Dquantized_transpose_conv_tester.cc172 std::vector<uint8_t> filter_data(OutputChannels() * KernelHeight() * in CreateTfLiteModel() local
177 std::generate(filter_data.begin(), filter_data.end(), uint8rng); in CreateTfLiteModel()
182 builder.CreateVector(reinterpret_cast<const uint8_t*>(filter_data.data()), in CreateTfLiteModel()
183 sizeof(uint8_t) * filter_data.size()))); in CreateTfLiteModel()
192 zero_point = std::accumulate(filter_data.begin(), filter_data.end(), 0) / in CreateTfLiteModel()
193 filter_data.size(); in CreateTfLiteModel()
/external/tensorflow/tensorflow/lite/kernels/internal/
Ddepthwiseconv_quantized_test.cc126 filter_data, in DispatchDepthwiseConvGeneral()
134 params, input_shape, input_data, filter_shape, filter_data, bias_shape, in DispatchDepthwiseConvGeneral()
143 const int8* filter_data, const RuntimeShape& bias_shape, in DispatchDepthwiseConvGeneral() argument
150 input_data, filter_shape, filter_data, bias_shape, bias_data, in DispatchDepthwiseConvGeneral()
162 filter_data, in DispatchDepthwiseConvImpl()
200 params, input_shape, input_data, filter_shape, filter_data, in DispatchDepthwiseConvImpl()
208 params, input_shape, input_data, filter_shape, filter_data, in DispatchDepthwiseConvImpl()
235 params, input_shape, input_data, filter_shape, filter_data, in DispatchDepthwiseConvImpl()
271 params, input_shape, input_data, filter_shape, filter_data, in DispatchDepthwiseConvImpl()
290 params, input_shape, input_data, filter_shape, filter_data, in DispatchDepthwiseConvImpl()
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Ddepthwiseconv_float_test.cc36 const float* filter_data, const RuntimeShape& bias_shape, in TestOneDepthwiseConv() argument
42 filter_data, bias_shape, bias_data, output_shape, in TestOneDepthwiseConv()
45 params, input_shape, input_data, filter_shape, filter_data, bias_shape, in TestOneDepthwiseConv()
121 std::vector<float> filter_data(filter_buffer_size); in TryTestOneDepthwiseConv() local
128 FillRandom(&filter_data, -filter_amplitude, filter_amplitude); in TryTestOneDepthwiseConv()
142 filter_shape_inference, filter_data.data(), in TryTestOneDepthwiseConv()
Dconv_per_channel_quantized_16x8_test.cc42 const int8* filter_data, const RuntimeShape& bias_shape, in PickOutputMultiplier() argument
87 filter_data[Offset(filter_shape, output_channel, filter_y, in PickOutputMultiplier()
118 const RuntimeShape& filter_shape_inference, const std::int8_t* filter_data, in PickReasonableMultiplier() argument
125 filter_shape_inference, filter_data, in PickReasonableMultiplier()
219 std::vector<std::int8_t> filter_data(filter_buffer_size); in TryTestOneConvFilter() local
225 FillRandom(&filter_data, (std::int8_t)120, (std::int8_t)127); in TryTestOneConvFilter()
228 FillRandom(&filter_data); in TryTestOneConvFilter()
261 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneConvFilter()
271 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneConvFilter()
282 IntToFloat(&filter_data_float, &filter_data); in TryTestOneConvFilter()
Ddepthwiseconv_per_channel_quantized_test.cc43 const int8* filter_data, const RuntimeShape& bias_shape, in PickOutputMultiplier() argument
88 int32 filter_val = filter_data[Offset( in PickOutputMultiplier()
118 const RuntimeShape& filter_shape_inference, const std::int8_t* filter_data, in PickReasonableMultiplier() argument
125 filter_shape_inference, filter_data, in PickReasonableMultiplier()
263 std::vector<std::int8_t> filter_data(filter_buffer_size); in TryTestOneDepthwiseConv3x3Filter() local
267 FillRandom(&filter_data); in TryTestOneDepthwiseConv3x3Filter()
298 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
314 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
320 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
337 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
Ddepthwiseconv_per_channel_quantized_16x8_test.cc42 const int8* filter_data, const RuntimeShape& bias_shape, in PickOutputMultiplier() argument
86 int32 filter_val = filter_data[Offset( in PickOutputMultiplier()
117 const RuntimeShape& filter_shape_inference, const std::int8_t* filter_data, in PickReasonableMultiplier() argument
124 filter_shape_inference, filter_data, in PickReasonableMultiplier()
218 std::vector<std::int8_t> filter_data(filter_buffer_size); in TryTestOneDepthwiseConv3x3Filter() local
222 FillRandom(&filter_data); in TryTestOneDepthwiseConv3x3Filter()
255 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
264 filter_data.data(), bias_shape_inference, bias_data.data(), in TryTestOneDepthwiseConv3x3Filter()
275 IntToFloat(&filter_data_float, &filter_data); in TryTestOneDepthwiseConv3x3Filter()
/external/tensorflow/tensorflow/python/kernel_tests/nn_ops/
Ddepthwise_conv_op_d9m_test.py67 filter_data = random_ops.random_normal(filter_shape, dtype=dtype)
77 return input_data, filter_data, strides, padding, output_shape
85 input_data, filter_data, strides, padding, _ = p
87 result_a = nn_impl.depthwise_conv2d_v2(input_data, filter_data, strides,
89 result_b = nn_impl.depthwise_conv2d_v2(input_data, filter_data, strides,
115 input_data, filter_data, strides, padding, output_shape = p
120 tape.watch(filter_data)
121 op_output = nn_impl.depthwise_conv2d_v2(input_data, filter_data,
124 return tape.gradient(gradient_injector_output, [input_data, filter_data])
/external/tensorflow/tensorflow/lite/kernels/internal/optimized/integer_ops/
Ddepthwise_conv_hybrid.h46 const int8* filter_data, const RuntimeShape& bias_shape, in DepthwiseConvHybridGeneral() argument
202 filter_data + filter_y * filter_height_stride, out_x_buffer_start, in DepthwiseConvHybridGeneral()
264 const RuntimeShape& filter_shape, const int8* filter_data, in DepthwiseConvHybridWithRounding() argument
304 filter_shape, filter_data, bias_shape, bias_data, output_shape, in DepthwiseConvHybridWithRounding()
315 filter_shape, filter_data, bias_shape, bias_data, output_shape, in DepthwiseConvHybridWithRounding()
323 const RuntimeShape& filter_shape, const int8* filter_data, in DepthwiseConvHybridImpl() argument
331 filter_shape, filter_data, bias_shape, bias_data, output_shape, in DepthwiseConvHybridImpl()
343 const T* filter_data, in DepthwiseConvHybridWorkerTask()
357 filter_data(filter_data), in DepthwiseConvHybridWorkerTask()
370 input_data, filter_shape, filter_data, in Run()
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Ddepthwise_conv_hybrid_3x3_filter.h2826 int32 start_x, int32 end_x, const int8* filter_data,
2855 const int8* filter_ptr = filter_data;
2917 ConvKernel::Run(input_scale, input_data, filter_data,
2935 const int8* filter_data, const float* bias_data, float* output_data,
2939 filter_data + params.filter_row_size + params.output_depth;
2955 filter_data + params.filter_row_size + params.output_depth;
2964 filter_ptr = filter_data + params.filter_row_size;
2984 filter_ptr = filter_data + params.input_depth;
3000 filter_ptr = filter_data;
3016 filter_ptr = filter_data + params.output_depth;
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/
Dfully_connected.h36 const int8_t* filter_data, const RuntimeShape& bias_shape, in FullyConnectedPerChannel() argument
57 int32_t filter_val = filter_data[out_c * accum_depth + d]; in FullyConnectedPerChannel()
78 const int8_t* filter_data, const RuntimeShape& bias_shape, in FullyConnectedPerChannel() argument
98 int32_t filter_val = filter_data[out_c * accum_depth + d]; in FullyConnectedPerChannel()
116 const int8_t* filter_data, const RuntimeShape& bias_shape, in FullyConnected() argument
141 int32_t filter_val = filter_data[out_c * accum_depth + d]; in FullyConnected()
160 const int8_t* filter_data, const RuntimeShape& bias_shape, in FullyConnected() argument
183 int32_t filter_val = filter_data[out_c * accum_depth + d]; in FullyConnected()
/external/tensorflow/tensorflow/lite/kernels/internal/optimized/
Ddepthwiseconv_multithread.h40 const T* filter_data, const RuntimeShape& bias_shape, in DepthwiseConvWorkerTask()
48 filter_data_(filter_data), in DepthwiseConvWorkerTask()
124 const T* filter_data, const RuntimeShape& bias_shape, in DepthwiseConv() argument
153 filter_data, bias_shape, bias_data, output_shape, in DepthwiseConv()
177 filter_data, bias_shape, bias_data, output_shape, in DepthwiseConv()
Dmultithreaded_conv.h89 int input_depth, const T* filter_data, int filter_height, in operator()
105 ConstEigenMatrix filter(filter_data, input_depth, filter_count); in operator()
118 ConstEigenMatrix filter(filter_data, k, filter_count); in operator()
126 ConstEigenTensor filter(filter_data, filter_height, filter_width, in operator()
138 const float* filter_data, const RuntimeShape& bias_shape, in Conv() argument
171 input_depth, filter_data, filter_height, filter_width, in Conv()

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